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ON THE PREDICTION OF TROPICAL CYCLONE LANDFALL AND INFLUENCE ON SOUTHERN CHINA USING MONTHLY OLR ANOMALIES FOR PRIME SUMMER
引用本文:段丽,蒋尚城. ON THE PREDICTION OF TROPICAL CYCLONE LANDFALL AND INFLUENCE ON SOUTHERN CHINA USING MONTHLY OLR ANOMALIES FOR PRIME SUMMER[J]. 热带气象学报(英文版), 2002, 8(2): 201-206
作者姓名:段丽  蒋尚城
作者单位:段丽(Hainan Meteorological Bureau, Haikou, 570203 China);蒋尚城(Department of Geophysics, Peking University,Beijing 100871 China)   
基金项目:Foundation for the “Application of OLR data in tropical weather” as part of a short-termscientific research project under the Science and Education Department of the China MeteorologicalAdministration ’96
摘    要:With the OLR data,the landfall and activity of tropical cyclones(TC) in southern China over a 20-year period(1975~1994) are studied.The result shows that the variation of the monthly anomalous OLR is somewhat teleconnected with the TC activity in southern China.The former is used to predict short-term climate for the latter over months with frequent or no TC influence.To some externt,the relationship between the TC activity in southern China and the monthly mean OLR anomalies is dependent on the climatological location of the subtropical high in northwestern Pacific region.

关 键 词:热带气旋  天气预报  TC  中国  热带台风影响

ON THE PREDICTION OF TROPICAL CYCLONE LANDFALL AND INFLUENCE ON SOUTHERN CHINA USING MONTHLY OLR ANOMALIES FOR PRIME SUMMER
DUAN Li and JIANG Shang-cheng. ON THE PREDICTION OF TROPICAL CYCLONE LANDFALL AND INFLUENCE ON SOUTHERN CHINA USING MONTHLY OLR ANOMALIES FOR PRIME SUMMER[J]. Journal of Tropical Meteorology, 2002, 8(2): 201-206
Authors:DUAN Li and JIANG Shang-cheng
Affiliation:1. Hainan Meteorological Bureau, Haikou, 570203 China
2. Department of Geophysics, Peking University,Beijing 100871 China
Abstract:With the OLR data, the landfall and activity of tropical cyclones (TC) in southern China over a 20-year period (1975~1994) are studied. The result shows that the variation of the monthly anomalous OLR is somewhat teleconnected with the TC activity in southern China. The former is used to predict short-term climate for the latter over months with frequent or no TC influence. To some extent, the relationship between the TC activity in southern China and the monthly mean OLR anomalies is dependent on the climatological location of the subtropical high in northwestern Pacific region.
Keywords:trend of anomalies  tropical cyclones  months with frequent tropical cyclone influence  months with no tropical cyclone influence  key areas of prediction  characteristic quantities of prediction
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